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Books > Science & Mathematics > Biology, life sciences > Molecular biology
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Computational Epidemiology - Data-Driven Modeling of COVID-19 (Hardcover, 1st ed. 2021)
Loot Price: R3,000
Discovery Miles 30 000
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Computational Epidemiology - Data-Driven Modeling of COVID-19 (Hardcover, 1st ed. 2021)
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Total price: R3,020
Discovery Miles: 30 200
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This innovative textbook brings together modern concepts in
mathematical epidemiology, computational modeling, physics-based
simulation, data science, and machine learning to understand one of
the most significant problems of our current time, the outbreak
dynamics and outbreak control of COVID-19. It teaches the relevant
tools to model and simulate nonlinear dynamic systems in view of a
global pandemic that is acutely relevant to human health. If you
are a student, educator, basic scientist, or medical researcher in
the natural or social sciences, or someone passionate about big
data and human health: This book is for you! It serves as a
textbook for undergraduates and graduate students, and a monograph
for researchers and scientists. It can be used in the mathematical
life sciences suitable for courses in applied mathematics,
biomedical engineering, biostatistics, computer science, data
science, epidemiology, health sciences, machine learning,
mathematical biology, numerical methods, and probabilistic
programming. This book is a personal reflection on the role of
data-driven modeling during the COVID-19 pandemic, motivated by the
curiosity to understand it.
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